Intermediate Data Scientist

2 days ago

Toronto, Canada Tri-global Full time

**INTERMEDIATE DATA ANALYTICS SCIENTIST**

**Requisition #**:R24-3091 (RQ# 06209)

**Location**:Hybrid (Toronto, ON - 3 days onsite/2 days remote per week)

**Engagement Type**: Contract

**Number of Resources required**:1

**Term**: ASAP to 2025-03-31 with extension available

**Rate (Per Day)**:Up to $430 per diem (equivalent to $59.31/hour) / Commensurate with related experience and market competitiveness

**Hours per day**:7.25

**Security Screening**: Standard (Criminal Record Check)

**Closing Date**:June 5, 2024 (5:00 PM Eastern Time)
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- Tri-global Solutions Group Inc. is seeking one (1) Intermediate Data Analytical Scientist to join our talented Service Delivery team at Ministry of Education (Ontario Public Service).

Please review the project overview, description of services, and requirements below. If you meet the requirements and are interested in submitting for this role, please reply to this job posting.

If you know other consultants who may be interested in this opportunity kindly share this job posting.

Thank you.

Tri-global Solutions Group Inc.
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- **PROJECT OVERVIEW**

Requisition Title:
CSC-FFS-0009G: Data Analytical Specialist/Scientist-Jr

Description:
The Community Services I&IT cluster (CSC) of the Ontario Public Service serves the Colleges and Universities (MCU), Education (EDU), Municipal Affairs and Housing (MMAH), and Tourism, Culture and Sport (MTCS) Ministries.. The Data Collection and Decision Support branch (DDSB) within CSC provides data collection and analytic service to all four client ministries.

The Data Analytical Specialist/Scientist will work under the direction of the Project Manager and the Senior Technical Manager and will engage directly with business clients.

**DESCRIPTION OF SERVICES**

**Responsibilities**:

- Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
- Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement
- Facilitate decision-making and manage client expectations
- Own the execution of analytics initiatives including end-to-end reporting and data set delivery
- Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
- Participate in documentation, development, testing, and end user training
- Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions
- Assist the Lead Developer with ETL and/or SSIS development where necessary
- Design methods to capture, structure, transform, and process data to be used to generate models
- Build data models that provide information which is accurate, easy to understand and unbiased
- Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
- Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making

General Skills:

- Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills
- Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
- Adept at communicating to both technical and non-technical audiences
- Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level
- Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources
- Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores
- Experience designing high quality interfaces to present information in a meaningful way to end users
- Broad understanding of data management, financial and business analysis, database architecture, and information visualization
- Proficiency in query languages and experience constructing complex query statements
- Experience in one or more programming or scripting languages
- Strong investigative and logic skills
- Proficiency in mathematics and statistics
- Awareness of emerging Business Intelligence trends and directions

Knowledge Transfer
- Transfer From Solution Development / Data Analytical Specialist/Scientist Junior to Project Manager

When Kno

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